Journals in Agricultural engineering and technology

Agriculture Communications

ISSN: 2949-7981

Agriculture Communications is an open access journal that covers all basic and applied research dealing with agriculture science. The journal also considers research integrating various disciplines and issues within the broad fields of Crop science, Horticultural science, Plant protection, Animal science and veterinary medicine, Smart agriculture, Food science and technology, Agricultural resources and environment, Agricultural economics and development, and Aquaculture and fisheries science. Papers on important methodological developments relevant for agriculture will be considered as well. The aim of the journal is to widely disseminate emerging scientific findings to researchers in various agricultural disciplines.The journal is fully dedicated to fair, rigorous, independent peer review. The journal will publish full length articles, reviews, short communications and editorials in first years of activity. As the journal evolves, other article types will be included.The areas of the journal include but are not limited to:Crop science Crop breedingCrop growth and development, and key characters and mechanisms linked to crop resistance to biotic and abiotic stressesHorticultural science Horticultural plant breedingHorticultural plant growth and development, and key characters and mechanisms linked to horticultural plant resistance to biotic and abiotic stressesPlant protection Agricultural entomologyPhytopathologyWeed sciencePesticide scienceAnimal science and veterinary medicine Animal breeding and nutritionForage scienceVeterinarySmart agriculture Sensor technology and applicationAgricultural roboticsInternet of thingsPrecision agricultureMachine/deep learning and artificial intelligence in sensing and imagingBig data, data mining, and data analysis for agricultural applicationsFood science and technology Food processing and productionFood storageFood microbiologyFood safety and qualityFood nutritionAgricultural resources and environment Plant nutrition and fertilizerSoil microbiologyIrrigation and water use efficiencyAgroecologyAgricultural economics and development Agricultural economicsAgricultural policyRural developmentAquaculture and fisheries science Aquatic animal breeding and nutritionDisease control of aquatic animalsAquatic ecology

Artificial Intelligence in Agriculture

ISSN: 2589-7217

Artificial Intelligence (AI) techniques are widely used to solve a variety of problems and to optimize the production and operation processes in the fields of agriculture, food and bio-system engineering.Artificial Intelligence in Agriculture is an Open Access journal, publishing original research, reviews and perspectives on the theory and practice of artificial intelligence (AI) in agriculture, food and bio-system engineering and related areas. Artificial Intelligence in Agriculture serves as an interdisciplinary forum to share ideas and solutions related to artificial intelligence and applications in agriculture. The journal welcomes both fundamental science and applied research describing the practical applications of AI methods in the fields of agriculture, food - and bio-system engineering and related areas.Topics of interest to the journal include, but are not limited to:AI-based decision support systemsAI-based precision agricultureSmart sensors and Internet of ThingsAgricultural robotics and automation equipmentAgricultural knowledge-based systemsComputational intelligence in agriculture, food and bio-systemsAI in agricultural optimization managementIntelligent interfaces and human-machine interactionMachine vision and image/signal processingMachine learning and pattern recognitionNeural networks, fuzzy systems, neuro-fuzzy systemsSystems modeling and analysisIntelligent systems for animal feedingExpert systems in agricultureCrop Phenotyping and analysisRemote sensing in agricultureAI technology in aquicultureAI in food engineering and cold chain logisticsBig Data and Cloud ComputingAutomatic navigation and self-driving technologyPrecision agricultural aviationDistributed ledger technology (Blockchain)The journal welcomes original research articles, review articles, perspective papers and short communications. The journal's editorial leadership welcome suggestions and proposals for special issues.Editorial Board

Biosystems Engineering

ISSN: 1537-5110
5 Year impact factor: 5.2
Impact factor: 4.4

Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in the understanding and management of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems. Papers may report the results of experiments, modelling, theoretical analyses, data driven findings, design of, or innovations relating to, machines and mechanisation systems, processes or processing methods, equipment and buildings, experimental equipment, laboratory and analytical techniques and instrumentation. Submissions should (1) involve new engineering science insights, including novel characteristics that can advance the specific scientific field; (2) present existing similar work in its field and discuss the advance over the state of the art offered, and (3) illustrate the knowledge gap that the work seeks to fill. The novelty aspect is of crucial importance for our Journal, and it is also linked with our focus on Science4Impact. Please see 3.3. for more information.Biosystems Engineering does NOT wish to publish:research that does not include sufficient novelty and engineering insights that could provide advances in the specific scientific field;findings obtained under conditions which are not sufficiently representative of practice, making the usefulness of the results and conclusions not well demonstrated;application of Artificial Intelligence (AI) and Machine Learning (ML) or Deep Learning (DL) techniques, without operational implementation and/or analysis of their impact on the specific biological application under investigation;results from non-validated models, primarily based on assumptions;work where the novelty is centred on property testing of products being processed using standard techniques;calibration and verification results using well-known approaches for a specific application.

Computers and Electronics in Agriculture

ISSN: 0168-1699
5 Year impact factor: 8.4
Impact factor: 7.7

Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. Its new companion journal, Smart Agricultural Technology provides continuity for smart application being applied in production agriculture.The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. On-farm, post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling.When determining the suitability of submitted manuscripts for publication, particular emphasis is placed on novelty and innovation, and the degree to which a manuscript advances the state of the art for computers/electronics in agriculture. Applying existing technology to a particular crop for the first time does not qualify as an innovation in computers/electronics for this journal. Research applying off-the-shelf hardware or software, without augmenting such technology with investigator-developed tools, innovations, or unique approaches, should be submitted to its companion journal, Smart Agricultural Technology, whose scope includes applied technology. Manuscripts that apply computers/electronics in an ancillary fashion or focus objectives and conclusions primarily on the application sciences (e.g., entomology, agronomy, engineering, economics, horticulture) should be submitted to one of those respective science journals.The journal recognizes that the use of previously published data sets (either alpha-numeric, quantitative, or imagery) can be extremely beneficial as researchers develop and prototype new machine learning or machine vision algorithms with potential application to agriculture. However, the journal views this prototyping work as preliminary in nature, and prospective authors should, prior to submitting such work to this journal, generate a more scientifically rigorous data set, collected by the authors under controlled and reported experimental conditions.

Engineering in Agriculture, Environment and Food

ISSN: 1881-8366

As of 2020, Engineering in Agriculture, Environment and Food is published on the https://www.jstage.jst.go.jp/browse/eaef/\_pubinfo/-char/enJ-STAGE platform.

Field Crops Research

ISSN: 0378-4290
5 Year impact factor: 6.1
Impact factor: 5.6

SCIENTIFIC NOVELTYField Crops Research is an international journal publishing scientific articles on:√ Original experimental and modelling research, meta-analysis of published data. √ Articles must demonstrate new scientific insights, original technologies or novel methods at crop, field, farm and landscape levels.FOCUS and SCOPEThe focus of Field Crops Research is crop ecology, crop physiology, agronomy, and crop improvement of field crops for food, fibre, feed and biofuel. The inclusion of yield data is encouraged to demonstrate how the field experiments contribute to the understanding of the bio-physical processes related to crop growth, development and the formation and realisation of yield. Articles on quality (grain, fibre, fodder), breeding and genetics, crop protection (diseases, pests, weeds), phenotyping, remote and non-contact sensing, soils, climate and greenhouse gas emissions, are encouraged, provided they are integrated with crop ecology, crop physiology, crop improvement and/or agronomy. Articles containing new insights into resource-use efficiency, crop intensification, precision and digital agriculture, climate smart practices and molecular and/or physiological breeding are welcome. Studies at lower levels of organisation (plant to molecular) must demonstrate scaling up to crop level or higher.SCIENTIFIC and PRESENTATION STANDARDManuscripts must be written in grammatically sound English.Objectives must flow from complete, brief, unbiased and updated review of the literature.Experimental design must match objectives.Field experiments must be repeated in at least two seasons or locations.Key agronomic practices and environmental conditions (soil, weather) must be detailed, and weather information should be shown in relation to crop phenology.Data must be analysed with appropriate statistics, and results have to be concise and address objectives.A separate discussion must not repeat results but place findings in agronomic context with conclusions fully justified by data.OUT of SCOPEResearch that is corroborative, descriptive, or only of local significance.Studies carried-out exclusively under controlled-environment (greenhouse, pot, or any system that constricts root growth) conditions.Studies on natural grasslands, horticultural (i.e., vegetable and fruit species), woody perennial and non-cultivated species.One-year field studies in one location or environment.Articles on crop storage, transportation and usage, and social studies on crops and cropping systems.

Information Processing in Agriculture

ISSN: 2214-3173
Impact factor: 7.7

The Journal of the China Agricultural UniversityInformation Processing in Agriculture (IPA) was established in 2013 to encourage the development of science and technology related to information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from information processing technologies in agriculture; • Report on experiences and publications of institutes, universities, and government, as well as profitable technologies for agriculture; • Provide a platform and opportunities for exchanging knowledge, strategies, and experiences among information processing researchers worldwide; • Promote and encourage interactions among agriculture scientists, meteorologists, biologists (pathologists/entomologists), information technology professionals, and other stakeholders to develop and implement methods, techniques, and tools related to information processing technology in agriculture; • Create and promote expert groups for the development of agro-meteorological databases, crop and livestock modeling, and applications for the development of crop performance-based decision support systems.Topics of interest include, but are not limited to, the following aspects: • Smart sensors, biosensors and bioelectronics, material and molecular innovations for chemical and biological sensing, sensors, and automation and control systems for agriculture; • Wireless sensor networks, 4G, NB-IOT, and 5G applications in agriculture; • Remote sensing and discrete element modeling (DEM) applications in agriculture; • Simulation, optimization, modeling, and automated control; • Decision support systems, intelligent systems, and artificial intelligence; • Machine vision, computer vision, image processing and automation, and imaging technologies for high-throughput phenotyping • Advances in spectroscopy and hyperspectral properties of biological products; • Advanced computational approaches for solving agricultural and biological engineering problems; • Computational fluid dynamics (CFD) applications in agriculture; • Inspection and traceability for food quality; • Precision agriculture, intelligent instruments, robotics, and co-robotics for agriculture; • Internet of things, cloud computing, and precision farming; • Big data, data mining, and data analysis for agricultural applications; • Unmanned aerial vehicles (UAVs) for sensing, imaging, and agricultural aquacultural applications.

Journal of Stored Products Research

ISSN: 0022-474X
5 Year impact factor: 2.7
Impact factor: 2.7

The Journal of Stored Products Research provides an international medium for the publication of both reviews and original results from laboratory and field research on all aspects of the preservation and safety of stored products along the supply chain starting from production to the consumer. The scope covers both durable commodities, and fresh fruits, vegetables, and freshly manufactured foodstuffs. Durable commodities are characterized by having relatively low moisture content and include raw and semi-processed foods such as grains, dried fruits, and animal feed, and other stored products such as timber, rubber, resins, clothing, and museum artefacts that are generally suitable for long-term storage. Fresh fruits, vegetables, and freshly manufactured foodstuffs (eg. bakery, sausages), are characterized by having high moisture contents but are stored over short to medium-term storage.Manuscripts are welcomed on: the biology, ecology, physiology, behaviour, taxonomy, and genetics of vertebrates (eg. rodents and birds) and invertebrate pests (eg. insects, mites) and microbial spoilage agents (eg. fungi, mold, yeast, and bacteria)environmental factors influencing the life cycles of the above-listed storage pests and spoilage agentsthe physical, chemical, and biological control of pests and spoilage agents, including the use of biologically producing compounds as preservatives with broad-spectrum antimicrobial activitiessubmission of manuscripts containing research on plant materials/botanicals are encouraged only if significant applied aspects are undertaken demonstrating their detailed chemical composition and long-term efficacy in the laboratory, supported by field application and the use of suitable controls: both negative/blank and positive (i.e., a compound of known activity)development of biochemical or behavioural resistance in pests to control measures and their managementstorage biotechnology, integrated pest management, and decision support systemsthe effects of physical, chemical, and environmental control procedures on the physical and chemical nature, besides quality parameters of the stored commoditiesthe assessment, prevention, and control of physical losses and preservation of quality of commodities during storage, and waste managementregulatory, technological, and socio-economic subjects relevant to stored productsNovel approaches in postharvest food engineering and manufacturing technologies, (eg. AI tools, chemical sensors, gas detectors) in processing, packaging, and design and modifications of storage structuresThe Journal of Stored Products Research reflects the worldwide interest in finding researched-based solutions for problems arising from the process of storage directly affecting the quality of stored products and their relevance to food security and safety, commodity protection, and their market access and trade.

Postharvest Biology and Technology

ISSN: 0925-5214
5 Year impact factor: 6.9
Impact factor: 6.4

Postharvest Biology and Technology is devoted exclusively to the publication of original papers, review articles and frontiers articles on biological and technological postharvest research of horticultural crops including fruit, vegetables, grapes, flowers, tea and nuts, but excluding grains, seeds, forages and spices.All aspects of postharvest research throughout the supply chain will be considered, including storage technologies, treatments and underpinning mechanisms, quality evaluation, packaging, handling, and distribution.The following research areas will be considered if they directly affect postharvest science: preharvest factors, ripening and senescence, product safety, systems biology, bioinformatics, entomology, plant physiology, plant pathology, (bio)chemistry, molecular biology, biotechnology, engineering, modelling, economics, and technologies for non-destructive testing.Manuscripts on the effect of treatments on the storage life of a product should have a mechanistic component and must include research on the physiological effects and working principles of the treatments. Manuscripts that report on non-destructive testing should relate to the biological processes of the product and should include a strong relationship with postharvest biology and technology. Manuscripts reporting novel fundamental and interdisciplinary research that addresses biological, technological, and socio-economic issues that impact technology acceptance, are encouraged.The focus of this journal is on fresh horticultural products. Manuscripts on products that will be further processed after postharvest storage, or on treatments beyond refrigeration, packaging and minimal processing will be considered but only if linked strongly to the quality and provenance of the products at the time of harvest.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Smart Agricultural Technology

ISSN: 2772-3755
5 Year impact factor: 6.3
Impact factor: 6.3

Smart Agricultural Technology provides international coverage for practical applications and smart systems that integrate advanced computing with electronic instrumentation or controls for agricultural planning and production.This journal is a companion to the highly reputable Computers and Electronics in Agriculture, providing a forum for the broad application of technologies in:On-farm planning and production efficiency using new technologies (crop identification, environmental impact, energy efficiency, adoption studies, socio-economic assessment).Identification of farm zones, as it pertains to soil types and water management.Soil (preparation, monitoring, health management).Seeding, growing, harvesting, pest / disease detection.Animal health and welfare, feeding, robotic tracking and processing.On-farm storage, primary product sorting or grading, pest identification, product quality assessment.Technology applications in agronomy, horticulture, forestry, aquaculture and livestock farming are considered.The journal publishes original papers and reviews of smart technology applications pertaining to algorithm development, sensors integration, on-farm decision systems, IoT systems, as deployed on machinery, computers or smart phones, for field and enclosed controlled environmental spaces. Production modeling using farm collected data and theoretical models tested in a production environment will be considered. Relevant areas of technology include artificial intelligence, sensors, imaging, internet of things, controls and robotics.

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health